The focus in enterprise AI is shifting from model capabilities to the engineering systems that support them, often referred to as the "serving harness." This represents a critical change because organizations are now prioritizing reliable, scalable, and cost-effective deployment over simply chasing the most advanced models. Consequently, technical leaders should prioritize investments in serving architecture and establish clear service-level objectives to ensure AI delivers sustainable business value.
Read the full article at MIT Tech Review
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